Topic: individual-treatment-effects Goto Github
Some thing interesting about individual-treatment-effects
Some thing interesting about individual-treatment-effects
individual-treatment-effects,Code and Datasets for the paper "Estimating Individual Treatment Effects with Time-Varying Confounders", published on ICDM 2020.
Organization: aimedlab
Home Page: https://arxiv.org/abs/2008.13620
individual-treatment-effects,Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.
Organization: causal-lab-miism
individual-treatment-effects,pytorch implementation of dragonnet
User: farazmah
individual-treatment-effects,A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects
User: jroessler
individual-treatment-effects,The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
User: junyzhou10
individual-treatment-effects,:exclamation: uplift modeling in scikit-learn style in python :snake:
User: maks-sh
Home Page: https://www.uplift-modeling.com
individual-treatment-effects,Evaluating BART and Synthetic Tree-Based Methods for the Estimation of Individual Causal Effects, final project for CM764 - Statistical Learning - Function Estimation at uWaterloo
User: michaelstjules
individual-treatment-effects,Implementation of Conformal Monte Carlo (CMC) learner
Organization: predict-idlab
Home Page: https://arxiv.org/abs/2402.04906
individual-treatment-effects,Official repository of DR-VIDAL - accepted in AMIA' 22 (Oral)
User: shantanu-ai
Home Page: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148269/
individual-treatment-effects,Repository of the algorithm Propensity Score Synthetic Augmentation Matching using Generative Adversarial Networks (PSSAM-GAN)
User: shantanu-ai
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